Employment Type : Full-Time
Position Summary.What you'll do. The Collaboration Tools Engineering Team provides a platform for Walmart global technology teams to plan, track and collaborate, and tools for executives to make decisions about resourcing and product roadmaps on a large scale. We leverage industry-standard tools like Jira and Confluence, and we build our own custom web tools, data and reporting to empower management decision-making and automate internal processes. Job Duties include: Skills required: This position does not include any supervisory responsibilities.- Problem Formulation: Identifies possible options to address the business problems within one's discipline through analytics, big data analytics, and automation. Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Applied Business Acumen: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new processes and ways of working.
Data Source Identification: Understands the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality.
Data Quality Management: Promotes data quality awareness. Profiles, analyzes, and assesses data quality. Tests and validates data quality requirements under supervision of others. Executes operational Data Quality Management procedures under supervision of others. Conducts data cleansing activities to remove data quality defects, improves data quality, and eliminates unused data under supervision of others. Grants user access to data. Learns company and regulatory policies on data. Learns data governance processes, practices, policies, and guidelines.
Data Visualization: Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Works with User Experience designers and User Interface engineers as required to build front end applications. Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding. Customizes communication style based on stakeholder under guidance and leverages rational arguments. Guides and mentors junior associates on story types, structures, and techniques based on context.
Exploratory Data Analysis: Collects and tabulates data and evaluates results to determine accuracy, validity, and applicability. Supports the identification and application of statistical techniques based on requirements. Applies suitable technique under direction from leadership. Assists in the planning, design and implementation of exploratory data analysis research projects. Understands existing statistical models and identifies and recommends statistical models based on hypothesis. Uses advanced Knowledge in Data Discovery tools to write queries and analyzes data to identify patterns, trends, outliers, and correlations. Conducts statistical experiments(for example hypothesis tests, confidence intervals) and builds basic statistical models using packages like Statistical Analysis Systems(SAS).
Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning.
Provides supervision and development opportunities for associates by hiring and training; mentoring; assigning duties; providing recognition; and ensuring diversity awareness.
Ensures compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by implementing related action plans; utilizing and supporting the Open Door Policy; and providing direction and guidance on applying these in executing business processes and practices.
experience in data analysis, data science, statistics, or related field. Option 2: 3 years' experience in data analysis, data science, statistics, or related fieldPreferred Qualifications.